Lead Data Analyst, Life Sciences AI Platforms

Elsevier

United States

Remote

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Comprehensive Health Insurance covers您

Enhanced Health Insurance Options with

Group Life Insurance

Group Accident Insurance

Flexible Working Arrangements

Employee Assistance Program

Medical Screening

Modern Family Benefits

Long-Service Awards

Celebratory New Baby Gift

Subsidized Meals

Paid Time Off

Free Transport for home-office-home

Job summary

Elsevier is seeking a Team Lead for Scientific Discovery Platforms in the United States. You will manage a team of Data Analysts supporting Reaxys and Embase, ensuring data quality, discoverability, and customer relevance across search and API experiences.

Your role blends life sciences expertise, data analysis, and AI-enabled technology adoption. The ideal candidate has a strong academic background, hands-on experience with Python/Bash, cloud platforms, and data pipelines, and excels at

Qualifications

Advanced degree in life sciences or chemistry with data analytics focus.
Experience with AI/GenAI-based testing frameworks.
Proven ability to manage data quality and discovery workflows.
Experience working with databases and cloud platforms.

Responsibilities

Lead a team of Data Analysts supporting Life Science solutions (Reaxys, Embase).
Improve discoverability through input on data models and pipelines.
Oversee customer-focused quality assurance, testing and feature releases.
Escalate unexpected search and API changes with expert insight.
Provide usage insights and recommendations for data-driven platform improvements.
Represent customer perspectives throughout product development and delivery.
Set and champion quality standards for search and API outputs.